Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Sustainability: a Dissent

Abstract:  Broadly conceived and considered in its many usages, sustainability has grave defects as a planning goal, particularly when used by conservationists: it confuses means and ends; it is vague about what is being sustained and who or what is doing the sustaining; it is uninspiring; it is little more than Pinchot-era conservation (and thus ignores the many lessons learned since then); it need not be linked to land, to the land's functioning, or to any ecological science; it need not include a moral component; it is consistent with the view of humans as all-powerful manipulators of the planet; and, in general, it is such a malleable term that its popularity provides only a facade of consensus. When sustainability is defined broadly to include the full range of economic and social aspirations, it poses the particular risk that ecological and biodiversity concerns will be cast aside in favor of more pressing human wants. Given these many defects, the conservation movement should discard the term in favor of a more alluring goal, attentive to nature and its ecological functioning. A sound goal would incorporate and distill the considerable ecological and moral wisdom accumulated since Pinchot's day while giving conservationists the rhetorical tools needed to defend the land against competing pressures. In our view, conservation would be well served by an updated variant of "land health," Aldo Leopold's ecologically grounded goal from the 1940s. Land health as an independent understanding should set the essential terms of how we live and enjoy the earth, providing the framework within which we pursue our many social and economic aims.     

毛乌素沙地樟子松人工林根内真菌群落结构与功能时间动态特征

为揭示毛乌素沙地樟子松人工林根内真菌群落结构和功能时间动态特征,以毛乌素沙地不同林龄（23、33和44 a）樟子松人工林为研究对象,采用高通量测序技术,比较分析不同月份（4~9月）樟子松人工林根内真菌群落组成及其对环境因子的响应. 结果表明：①樟子松根内真菌群落分布存在明显的季节性,月份对樟子松根内真菌多样性指数影响显著（P<0.05）,在5月和7月较高;樟子松根内真菌多样性指数随林龄的增大而逐渐减小,林龄对其的影响不显著. ②毛乌素沙地樟子松根内真菌优势菌门为子囊菌门（Ascomycota）;不同营养型真菌相对丰度随月份变化,优势类群为腐生-共生营养型真菌、未定义腐生菌和外生菌根真菌;5月、7月和9月的指示外生菌根真菌分别为囊蘑属（Melanoleuca）、缘腺革菌属（Amphinema）和口蘑属（Tricholoma）. ③毛乌素沙地樟子松根内真菌群落分布受年均相对湿度、年均降水量、土壤孔隙度、土壤铵态氮、年均日照时数、年均温和土壤含水量的显著影响（P<0.05）,指示菌种主要受土壤有机碳含量、孔隙度、年均降水量和年均空气湿度的影响. 气候和土壤性质等环境因子的变化塑造了毛乌素沙地樟子松人工林根内真菌群落结构和功能的时间动态特征,而林龄的贡献较小. 研究结果可为樟子松人工林可持续经营管理提供理论依据.     

浅议21世纪数学教育的功能

在我国全面实施素质教育的新形势下，时代赋予了数学教育新的使命。数学教育，一方面具有逻辑严密性、结论可靠性及应用广泛性等科学功能；另一方面又具有陶冶情操、完善个性、培养学生理性思维和创造意识等文化功能。     

太湖流域居民暴露于DDTs的健康风险评价

采用多介质环境数学模型,评价太湖流域居民暴露于DDTs的健康风险,分析风险来源、暴露介质及暴露途径,并结合蒙特卡罗方法分析研究过程中的不确定性. 结果表明,太湖流域居民中男性和女性对环境中DDTs的终身日平均暴露量分别为4.00×10－4～8.28×10－3和3.73×10－4～7.28×10－3 mg/(kg·d). 暴露途径中食物摄取是最主要途径,其次是吸入,皮肤暴露作用很小. 食物中贡献较大的为谷物、鱼类和肉类. 相应的男性和女性的健康风险度分别为0.114×10－6～2.366×10－6 和0.107×10－6～2.081×10－6 a－1,低于可接受健康风险度标准的累积概率分别为80.85%和86.05%.      

土壤含水层处理出水的回用健康风险评价

通过土壤柱实验,研究了土壤含水层处理工艺对污水处理厂二级处理出水的处理效果。初步讨论了土壤含水层处理工艺对各种污染物的去除机理,并评价了不同回用途径再生水对人体的健康风险。研究结果表明:土壤含水层处理工艺能够有效去除二级处理出水中的有机物和重金属离子,对大肠菌和粪大肠菌的去除率大于99.9%。健康风险评价结果显示:再生水的健康风险主要来自致癌物质,终生致癌风险在10-6数量级,而非致癌物质的健康危害风险在10-9数量级。     

我国主要蔬菜和粮油作物的砷含量与砷富集能力比较

根据国内外文献报道,对蔬菜和粮油作物中砷的累积特点和富集能力进行总结和分析.结果表明.清洁区和污染区蔬菜的砷含量变幅分别为0.001-1.07 mg·kg-1和0.001-8.51 mg·kg-1(鲜重),均值分别为0.035 mg·kg-1和0.068 mg·kg-1不同种类蔬菜的砷含量由大到小,依次为:叶菜类>根茎类>茄果类>鲜豆类;清洁区和污染区粮油作物的砷含量变幅分别为0.001-2.20 mg·kg-1和0.007-6.83 mg·kg-1(干重),均值分别为0.081 mg·kg-1和0.294 mg·kg-1,其中水稻的砷含量显著高于小麦和玉米.从富集系数来看,叶莱类蔬菜的砷富集系数最高,芹菜、蕹菜、茼蒿、芥菜等蔬菜的抗砷污染能力较弱.粮食作物玉米的抗砷污染能力较强.与蔬菜砷限量标准(GB4810-1994)相比,我国砷污染区的蔬菜中有32.2%的样本砷含量超标,其中叶菜类和根茎类的超标率分别为47.9%和12.8%.与粮食砷限量标准(GB4810-1994)比较,我国污染区粮油作物的样本砷超标率为34.8%,其中水稻的超标率高达42.9%.玉米和小麦的超标率均高于20%.     

二噁英的毒性及其对人体健康影响的研究进展

二噁英(dioxin),是一类毒性很强的三环芳香族有机化合物。近年来随着二噁英污染事件的频频发生,人们对二噁英的危害也日益关注。文章从二噁英的结构、理化性质、检测方法、毒性机理以及它对人体健康的影响等方面,对近年来已取得的成果进行了综述,并对今后有效的控制管理措施提出了相应的建议。     

基于《电力设施抗震设计规范》的地震动随机模型参数研究

依据《电力设施抗震设计规范》(GB50260-96)中的设计反应谱,对随机地震动功率谱参数的取值进行了具体研究。首先,采用时间包络函数考虑地震的非平稳特性,给出了地震动持时的取值;然后,根据加速度峰值等效原则,迭代计算得到地面的加速度功率谱密度曲线;最后,选定Clough-Penzien修正过滤白噪声模型作为拟合函数,通过非线性拟合技术拟合了与《规范》中的地震烈度、场地类别相对应的谱参数。研究结果表明,Clough-Penzien修正过滤白噪声模型能较好地拟合其曲线形状。本文给出了相对于规范中的地面加速度功率谱参数值,可供这种模型作为地震地面运动输入时选用。     

基于蒙特卡罗模拟的土壤环境健康风险评价:以PAHs为例

为获得更为合理的健康风险评价结果,并辨识对健康风险影响最大的因素,基于蒙特卡罗随机模拟,运用概率风险评价模型,定量评估了中国上海某居民区土壤中16种PAHs对居民的健康风险水平,并对各参数进行敏感性分析.结果表明,土壤中PAHs造成的健康风险服从对数正态分布,总的致癌风险为3.43×10~(-5)±2.63×10~(-5),最小值为8.10×10~(-7),最大值为2.39×10~(-4),超过10-6的概率为95%,超过10~(-5)的概率为75%,超过10~(-4)的概率小于5%;总的危害商为4.74×10~(-2)±3.42×10~(-2),不超过1,风险较小;在7种具有致癌效应的PAHs中,苯并(a)芘、二苯并(a,h)蒽和苯并(a)蒽是总致癌风险的主要贡献物质,贡献率分别占60.41%、26.84%和6.56%;3种暴露途径中,经口途径是造成致癌风险的主要途径,贡献率为73.22%;对于总致癌风险,人体暴露参数中每日土壤摄入量、暴露周期、暴露皮肤面积敏感度较大,分别为58.35%、50.21%和20.51%;体重具有负敏感性,敏感度为-11.66%.